APN Job ID# 175544 About the Role We are hiring an AI Engineer to build production AI coding tools and internal AI products. This is a hands-on engineering role focused on shipping real AI-powered systems — not research. You will design and build LLM-powered applications end to end and help spread strong AI engineering practices across the organization. Responsibilities • Design, build, and ship production LLM-powered products and internal AI tools • Design and deploy multi-agent systems and agentic workflows in production • Build tool-calling and function-calling workflows, API orchestration, and structured output pipelines • Evaluate and select models (frontier and open-source) based on task performance and cost tradeoffs • Build evaluation frameworks, benchmarking, and quality gates for AI systems in production • Develop scalable, maintainable AI application backends in Python • Partner with product, security, and engineering teams to identify and deliver high-impact AI opportunities Requirements • Bachelor's degree or above in Computer Science, Mathematics, AI, or a related engineering field • Recent core engineering experience at a leading AI company or large technology company • 2+ years of hands-on experience building and shipping LLM-powered products in production • Experience designing and deploying multi-agent systems and agent architectures (e.g., ReAct, Plan-and-Execute) in production • Deep experience with tool-use patterns, API orchestration, and structured LLM outputs • Experience with systematic model evaluation and selection (frontier and open-source models) • Experience building or operating AI evaluation and benchmarking frameworks • Proficiency with AI coding tools (e.g., Claude Code, Cursor, Copilot) as part of your daily engineering workflow • Strong Python engineering skills — building production backends, not just prototypes • Ability to independently scope, build, and ship AI-powered systems end to end • Based in the US, with the ability to collaborate effectively across time zones (including APAC) through async communication • Chinese language skills are a plus Preferred Qualifications • Experience applying AI to security, fintech, or crypto domain problems • Fine-tuning experience (LoRA/QLoRA, RLHF, domain-specific model adaptation) • Production RAG pipeline experience (retrieval optimization, chunking strategies, evaluation) • Experience building Skills / MCP servers • Published work, open-source AI projects, or public technical writing on LLM engineering Compensation Base salary: USD 200,000–300,000 per year (negotiable). About IntelliPro IntelliPro Group Inc. is a global staffing and talent solutions company. We connect exceptional professionals with leading organizations across technology, engineering, and professional services. By partnering closely with both clients and candidates, we build long-term relationships that help businesses grow and careers thrive.